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Automatic quantification of aortic regurgitation using 3D full volume color doppler echocardiography: a validation study with cardiac magnetic resonance imaging

Authors
 Jaehuk Choi  ;  Geu-Ru Hong  ;  Minji Kim  ;  In Jeong Cho  ;  Chi Young Shim  ;  Hyuk-Jae Chang  ;  Joel Mancina  ;  Jong-Won Ha  ;  Namsik Chung 
Citation
 INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, Vol.31(7) : 1379-1389, 2015 
Journal Title
INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
ISSN
 1569-5794 
Issue Date
2015
MeSH
Aortic Valve/diagnostic imaging* ; Aortic Valve/physiopathology ; Aortic Valve Insufficiency/diagnostic imaging* ; Aortic Valve Insufficiency/physiopathology ; Automation ; Echocardiography, Doppler, Color* ; Echocardiography, Three-Dimensional* ; Feasibility Studies ; Female ; Humans ; Image Interpretation, Computer-Assisted ; Magnetic Resonance Imaging* ; Male ; Middle Aged ; Predictive Value of Tests ; Prospective Studies ; Reproducibility of Results ; Republic of Korea ; Severity of Illness Index
Keywords
3-dimensional ; Aortic valve regurgitation ; Echocardiography
Abstract
Recent advances in real-time three-dimensional (3D) echocardiography provide the automated measurement of mitral inflow and aortic stroke volume without the need to assume the geometry of the heart. The aim of this study is to explore the ability of 3D full volume color Doppler echocardiography (FVCDE) to quantify aortic regurgitation (AR). Thirty-two patients with more than a moderate degree of AR were enrolled. AR volume was measured by (1) two-dimensional-CDE, using the proximal isovelocity surface area (PISA) and (2) real-time 3D-FVCDE with (3) phase-contrast cardiac magnetic resonance imaging (PC-CMR) as the reference method. Automated AR quantification using 3D-FVCDE was feasible in 30 of the 32 patients. 2D-PISA underestimated the AR volume compared to 3D-FVCDE and PC-CMR (38.6 ± 9.9 mL by 2D-PISA; 49.5 ± 10.2 mL by 3D-FVCDE; 52.3 ± 12.6 mL by PC-CMR). The AR volume assessed by 3D-FVCDE showed better correlation and agreement with PC-CMR (r = 0.93, p < 0.001, 2SD: 9.5 mL) than did 2D-PISA (r = 0.76, p < 0.001, 2SD: 15.7 mL). When used to classify AR severity, 3D-FVCDE agreed better with PC-CMR (k = 0.94) than did 2D-PISA (k = 0.53). In patients with eccentric jets, only 30% were correctly graded by 2D-PISA. Conversely, almost all patients with eccentric jets (86.7%) were correctly graded by 3D-FVCDE. In patients with multiple jets, only 3 out of 10 were correctly graded by 2D-PISA, while 3D-FVCDE correctly graded 9 out of 10 of these patients. Automated quantification of AR using the 3D-FVCDE method is clinically feasible and more accurate than the current 2D-based method. AR quantification by 2D-PISA significantly misclassified AR grade in patients with eccentric or multiple jets. This study demonstrates that 3D-FVCDE is a valuable tool to accurately measure AR volume regardless of AR characteristics.
Full Text
http://link.springer.com/article/10.1007%2Fs10554-015-0707-x
DOI
10.1007/s10554-015-0707-x
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Shim, Chi Young(심지영) ORCID logo https://orcid.org/0000-0002-6136-0136
Chang, Hyuk-Jae(장혁재) ORCID logo https://orcid.org/0000-0002-6139-7545
Chung, Nam Sik(정남식)
Cho, In Jeong(조인정)
Ha, Jong Won(하종원) ORCID logo https://orcid.org/0000-0002-8260-2958
Hong, Geu Ru(홍그루) ORCID logo https://orcid.org/0000-0003-4981-3304
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/141178
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